User Interface
The SpyTracker User Interface provides powerful functionality in an easy to use and familiar way. Users can track secret agent movement on many train tracks. Data entry is made simple by providing means to enter data manually or by uploading a file containing secret agent movement data. Simply enter the data you have recorded about secret agents sitting on trains as they pass by. The user then has the choice of two powerful analysis methods.
Agglomerative hierarchical clustering is a method of analysing the secret agent data and looking clustering or interesting groups. SpyTracker prepares your data then uses the groups it finds to predict the movement trends of the secret agents.
Regression analysis creates a mathamatical formula that represents the changes in the data. SpyTracker then uses this formula and your most recent data to predict the movement trends of the secret agents.
SpyTracker displays results in an easy to understand format, allowing the user to make quick decisions about which trains they should take to avoid secret agents
SpyTrack also includes many reports and graphs for displaying historical prediction information.
To learn more about how SpyTracker works, check out our Technical Details page here.